Arun Madanaguli
Biographic Data
| ID | 6586712 |
|---|---|
| NAME | Arun Madanaguli |
| GIVEN NAMES | Arun |
| FAMILY NAME | Madanaguli |
| SIGNATURE | MADANAGULI A |
| AFFILIATIONS | Luleå University of Technology |
| ORCID | 0000-0001-9434-5429 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Artificial intelligence capabilities for circular business models: Research synthesis and future agenda
This study explores the interlink between AI capabilities and circular business models (CBMs) through a literature review. Extant literature reveals that AI can act as efficiency catalyst, empowering firms to implement CBM. However, the journey to harness AI for CBM is fraught with challenges as firms grapple with the lack of sophisticated processes and routines to tap into AI's potential. The fragmented literature leaves a void in understanding …
Literature review on industrial digital platforms: A business model perspective and suggestions for future research
Rapid digitalization of industries has led to the proliferation of complex industrial digital platforms; however, few industrial platform leaders have successfully established sustainable business models around their offerings. The need for a concrete definition of industrial digital platforms and their business models further complicates our understanding of the issue. In this prospecting review, we critically analyze the existing literature on …
Corporate social responsibility and sustainability in the tourism sector: A systematic literature review and future outlook
The current study intends to synthesise extant studies addressing corporate social responsibility (CSR) and sustainability in the tourism sector. It employed qualitative content analysis to present the research profile, prominent conceptual, qualitative and quantitative studies, research gaps and future research questions. The review results indicate that research on CSR in tourism is a promising area of study that is growing rapidly. This review…
Corporate social responsibility and sustainability in the tourism sector: A systematic literature review and future outlook
The current study intends to synthesise extant studies addressing corporate social responsibility (CSR) and sustainability in the tourism sector. It employed qualitative content analysis to present the research profile, prominent conceptual, qualitative and quantitative studies, research gaps and future research questions. The review results indicate that research on CSR in tourism is a promising area of study that is growing rapidly. This review…
Corporate social responsibility and sustainability in the tourism sector: A systematic literature review and future outlook
The current study intends to synthesise extant studies addressing corporate social responsibility (CSR) and sustainability in the tourism sector. It employed qualitative content analysis to present the research profile, prominent conceptual, qualitative and quantitative studies, research gaps and future research questions. The review results indicate that research on CSR in tourism is a promising area of study that is growing rapidly. This review…
Literature review on industrial digital platforms: A business model perspective and suggestions for future research
Rapid digitalization of industries has led to the proliferation of complex industrial digital platforms; however, few industrial platform leaders have successfully established sustainable business models around their offerings. The need for a concrete definition of industrial digital platforms and their business models further complicates our understanding of the issue. In this prospecting review, we critically analyze the existing literature on …
Artificial intelligence capabilities for circular business models: Research synthesis and future agenda
This study explores the interlink between AI capabilities and circular business models (CBMs) through a literature review. Extant literature reveals that AI can act as efficiency catalyst, empowering firms to implement CBM. However, the journey to harness AI for CBM is fraught with challenges as firms grapple with the lack of sophisticated processes and routines to tap into AI's potential. The fragmented literature leaves a void in understanding …
Business (2 works) · Computer Science (2 works) · Data science (2 works) · Engineering (2 works) · Knowledge management (2 works) · Marketing (2 works) · Process management (2 works) · Sustainability (2 works) · Automation (1 works) · Bridging (networking) (1 works)